public Correction[] findBestCandiates(
CandidateSet[] sets, float errorFraction, double cutoffScore) throws IOException {
if (sets.length == 0) {
return Correction.EMPTY;
}
PriorityQueue<Correction> corrections =
new PriorityQueue<Correction>(maxNumCorrections) {
@Override
protected boolean lessThan(Correction a, Correction b) {
return a.compareTo(b) < 0;
}
};
int numMissspellings = 1;
if (errorFraction >= 1.0) {
numMissspellings = (int) errorFraction;
} else {
numMissspellings = Math.round(errorFraction * sets.length);
}
findCandidates(
sets,
new Candidate[sets.length],
0,
Math.max(1, numMissspellings),
corrections,
cutoffScore,
0.0);
Correction[] result = new Correction[corrections.size()];
for (int i = result.length - 1; i >= 0; i--) {
result[i] = corrections.pop();
}
assert corrections.size() == 0;
return result;
}
// See MinShouldMatchSumScorer for an explanation
private static long cost(Collection<BulkScorer> scorers, int minShouldMatch) {
final PriorityQueue<BulkScorer> pq =
new PriorityQueue<BulkScorer>(scorers.size() - minShouldMatch + 1) {
@Override
protected boolean lessThan(BulkScorer a, BulkScorer b) {
return a.cost() > b.cost();
}
};
for (BulkScorer scorer : scorers) {
pq.insertWithOverflow(scorer);
}
long cost = 0;
for (BulkScorer scorer = pq.pop(); scorer != null; scorer = pq.pop()) {
cost += scorer.cost();
}
return cost;
}
/**
* As we don't know where (in what node) is the first result, we have to compare the results until
* we achieve the first result.
*/
private void goToFirstResult() {
for (int i = 0; i < firstResult; i++) {
// getting the next scoreDoc. If null, then there is no more results
ClusteredDoc scoreDoc = (ClusteredDoc) hq.pop();
if (scoreDoc == null) {
return;
}
rechargeQueue(scoreDoc);
}
}
@SuppressWarnings("unchecked")
public T next() {
IteratorNode ctx = (IteratorNode) _queue.top();
T val = ctx._curVal;
if (ctx.fetch()) {
_queue.updateTop();
} else {
_queue.pop();
}
return val;
}
/**
* Convenience routine to make it easy to return the most interesting words in a document. More
* advanced users will call {@link #retrieveTerms(Reader, String) retrieveTerms()} directly.
*
* @param r the source document
* @param fieldName field passed to analyzer to use when analyzing the content
* @return the most interesting words in the document
* @see #retrieveTerms(java.io.Reader, String)
* @see #setMaxQueryTerms
*/
public String[] retrieveInterestingTerms(Reader r, String fieldName) throws IOException {
ArrayList<Object> al = new ArrayList<>(maxQueryTerms);
PriorityQueue<ScoreTerm> pq = retrieveTerms(r, fieldName);
ScoreTerm scoreTerm;
int lim =
maxQueryTerms; // have to be careful, retrieveTerms returns all words but that's probably
// not useful to our caller...
// we just want to return the top words
while (((scoreTerm = pq.pop()) != null) && lim-- > 0) {
al.add(scoreTerm.word); // the 1st entry is the interesting word
}
String[] res = new String[al.size()];
return al.toArray(res);
}
private void loadTo(int index) {
int fetched = 0;
while (orderedValues.size() <= index || fetched < fetchSize) {
// getting the next scoreDoc. If null, then there is no more results
ClusteredDoc scoreDoc = (ClusteredDoc) hq.pop();
if (scoreDoc == null) {
return;
}
ClusteredTopDocs topDoc = rechargeQueue(scoreDoc);
// fetching the value
Object value = fetchValue(scoreDoc, topDoc);
orderedValues.add(value);
fetched++;
}
}
/** Add to an existing boolean query the More Like This query from this PriorityQueue */
private void addToQuery(PriorityQueue<ScoreTerm> q, BooleanQuery query) {
ScoreTerm scoreTerm;
float bestScore = -1;
while ((scoreTerm = q.pop()) != null) {
TermQuery tq = new TermQuery(new Term(scoreTerm.topField, scoreTerm.word));
if (boost) {
if (bestScore == -1) {
bestScore = (scoreTerm.score);
}
float myScore = (scoreTerm.score);
tq.setBoost(boostFactor * myScore / bestScore);
}
try {
query.add(tq, BooleanClause.Occur.SHOULD);
} catch (BooleanQuery.TooManyClauses ignore) {
break;
}
}
}
/** Create the More like query from a PriorityQueue */
private Query createQuery(PriorityQueue<ScoreTerm> q) {
BooleanQuery.Builder query = new BooleanQuery.Builder();
ScoreTerm scoreTerm;
float bestScore = -1;
while ((scoreTerm = q.pop()) != null) {
Query tq = new TermQuery(new Term(scoreTerm.topField, scoreTerm.word));
if (boost) {
if (bestScore == -1) {
bestScore = (scoreTerm.score);
}
float myScore = (scoreTerm.score);
tq = new BoostQuery(tq, boostFactor * myScore / bestScore);
}
try {
query.add(tq, BooleanClause.Occur.SHOULD);
} catch (BooleanQuery.TooManyClauses ignore) {
break;
}
}
return query.build();
}
/**
* Fetch upcoming vehicle departures from a stop. It goes though all patterns passing the stop for
* the previous, current and next service date. It uses a priority queue to keep track of the next
* departures. The queue is shared between all dates, as services from the previous service date
* can visit the stop later than the current service date's services. This happens eg. with
* sleeper trains.
*
* <p>TODO: Add frequency based trips
*
* @param stop Stop object to perform the search for
* @param startTime Start time for the search. Seconds from UNIX epoch
* @param timeRange Searches forward for timeRange seconds from startTime
* @param numberOfDepartures Number of departures to fetch per pattern
* @return
*/
public List<StopTimesInPattern> stopTimesForStop(
Stop stop, long startTime, int timeRange, int numberOfDepartures) {
if (startTime == 0) {
startTime = System.currentTimeMillis() / 1000;
}
List<StopTimesInPattern> ret = new ArrayList<>();
TimetableSnapshot snapshot = null;
if (graph.timetableSnapshotSource != null) {
snapshot = graph.timetableSnapshotSource.getTimetableSnapshot();
}
ServiceDate[] serviceDates = {
new ServiceDate().previous(), new ServiceDate(), new ServiceDate().next()
};
for (TripPattern pattern : patternsForStop.get(stop)) {
// Use the Lucene PriorityQueue, which has a fixed size
PriorityQueue<TripTimeShort> pq =
new PriorityQueue<TripTimeShort>(numberOfDepartures) {
@Override
protected boolean lessThan(TripTimeShort tripTimeShort, TripTimeShort t1) {
// Calculate exact timestamp
return (tripTimeShort.serviceDay + tripTimeShort.realtimeDeparture)
> (t1.serviceDay + t1.realtimeDeparture);
}
};
// Loop through all possible days
for (ServiceDate serviceDate : serviceDates) {
ServiceDay sd =
new ServiceDay(graph, serviceDate, calendarService, pattern.route.getAgency().getId());
Timetable tt;
if (snapshot != null) {
tt = snapshot.resolve(pattern, serviceDate);
} else {
tt = pattern.scheduledTimetable;
}
if (!tt.temporallyViable(sd, startTime, timeRange, true)) continue;
int secondsSinceMidnight = sd.secondsSinceMidnight(startTime);
int sidx = 0;
for (Stop currStop : pattern.stopPattern.stops) {
if (currStop == stop) {
for (TripTimes t : tt.tripTimes) {
if (!sd.serviceRunning(t.serviceCode)) continue;
if (t.getDepartureTime(sidx) != -1
&& t.getDepartureTime(sidx) >= secondsSinceMidnight) {
pq.insertWithOverflow(new TripTimeShort(t, sidx, stop, sd));
}
}
// TODO: This needs to be adapted after #1647 is merged
for (FrequencyEntry freq : tt.frequencyEntries) {
if (!sd.serviceRunning(freq.tripTimes.serviceCode)) continue;
int departureTime = freq.nextDepartureTime(sidx, secondsSinceMidnight);
if (departureTime == -1) continue;
int lastDeparture =
freq.endTime
+ freq.tripTimes.getArrivalTime(sidx)
- freq.tripTimes.getDepartureTime(0);
int i = 0;
while (departureTime <= lastDeparture && i < numberOfDepartures) {
pq.insertWithOverflow(
new TripTimeShort(freq.materialize(sidx, departureTime, true), sidx, stop, sd));
departureTime += freq.headway;
i++;
}
}
}
sidx++;
}
}
if (pq.size() != 0) {
StopTimesInPattern stopTimes = new StopTimesInPattern(pattern);
while (pq.size() != 0) {
stopTimes.times.add(0, pq.pop());
}
ret.add(stopTimes);
}
}
return ret;
}
/**
* Auxiliary method used by the {@link #merge} impls. A sort value of null is used to indicate
* that docs should be sorted by score.
*/
private static TopDocs mergeAux(Sort sort, int start, int size, TopDocs[] shardHits)
throws IOException {
final PriorityQueue<ShardRef> queue;
if (sort == null) {
queue = new ScoreMergeSortQueue(shardHits);
} else {
queue = new MergeSortQueue(sort, shardHits);
}
int totalHitCount = 0;
int availHitCount = 0;
float maxScore = Float.MIN_VALUE;
for (int shardIDX = 0; shardIDX < shardHits.length; shardIDX++) {
final TopDocs shard = shardHits[shardIDX];
// totalHits can be non-zero even if no hits were
// collected, when searchAfter was used:
totalHitCount += shard.totalHits;
if (shard.scoreDocs != null && shard.scoreDocs.length > 0) {
availHitCount += shard.scoreDocs.length;
queue.add(new ShardRef(shardIDX));
maxScore = Math.max(maxScore, shard.getMaxScore());
// System.out.println(" maxScore now " + maxScore + " vs " + shard.getMaxScore());
}
}
if (availHitCount == 0) {
maxScore = Float.NaN;
}
final ScoreDoc[] hits;
if (availHitCount <= start) {
hits = new ScoreDoc[0];
} else {
hits = new ScoreDoc[Math.min(size, availHitCount - start)];
int requestedResultWindow = start + size;
int numIterOnHits = Math.min(availHitCount, requestedResultWindow);
int hitUpto = 0;
while (hitUpto < numIterOnHits) {
assert queue.size() > 0;
ShardRef ref = queue.pop();
final ScoreDoc hit = shardHits[ref.shardIndex].scoreDocs[ref.hitIndex++];
hit.shardIndex = ref.shardIndex;
if (hitUpto >= start) {
hits[hitUpto - start] = hit;
}
// System.out.println(" hitUpto=" + hitUpto);
// System.out.println(" doc=" + hits[hitUpto].doc + " score=" + hits[hitUpto].score);
hitUpto++;
if (ref.hitIndex < shardHits[ref.shardIndex].scoreDocs.length) {
// Not done with this these TopDocs yet:
queue.add(ref);
}
}
}
if (sort == null) {
return new TopDocs(totalHitCount, hits, maxScore);
} else {
return new TopFieldDocs(totalHitCount, hits, sort.getSort(), maxScore);
}
}
